Update README.md

README.md

@@ -18,7 +18,9 @@ base_model:
 
 ## Introduction
 
-We present a compact yet powerful reasoning model **Ring-mini-2.0**. It has 16B total parameters, with 1.4B parameters are activated per input token (non-embedding 789M).  Trained on more than 20T tokens of high-quality data and enhanced through long-cot supervised fine-tuning and multi-stage reinforcement learning, **Ring-mini-2.0** still reaches the top-tier level of sub-10B dense LLMs and even matches or surpasses much larger MoE models.
+We present a compact yet powerful reasoning model **Ring-mini-2.0**. It has 16B total parameters, with 1.4B parameters are activated per input token (non-embedding 789M). Although **Ring-mini-2.0** is quite compact, it still reaches the top-tier level of sub-10B dense LLMs and even matches or surpasses much larger MoE models
+
+through pre-training on 20T tokens of high-quality data and enhanced through long-cot supervised fine-tuning and multi-stage reinforcement learning.
 
 
 ## Model Downloads
@@ -140,14 +142,4 @@ Please refer to [GitHub](https://github.com/inclusionAI/Ring/blob/main/README.md
 This code repository is licensed under [the MIT License](https://huggingface.co/inclusionAI/Ring-lite-2507/blob/main/LICENSE).
 
 ## Citation
-```
-@misc{ringteam2025ringlitescalablereasoningc3postabilized,
-      title={Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs}, 
-      author={Ling Team},
-      year={2025},
-      eprint={2506.14731},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2506.14731}, 
-}
-```
+TODO```